Modeling and forecasting of temporary ranks' dynamics (part I)

Various methods of modeling and forecasting of temporary ranks in economy depending on volume and structure of statistical information entrance are considered. New results on trend and approximation optimization with smoothing of temporary ranks are presented. Methods of the effective solution of approximation problems by means of cubic spline functions are offered.